Michael Riley has a B.S., M.S., and Ph.D. from MIT, all in computer science. He began
his career at Bell Labs and AT&T Labs where he, together with Mehryar Mohri and
Fernando Pereira, introduced and developed the theory and use of weighted
finite-state transducers (WFSTs) in speech and language. He is currently a principal
research scientist at Google, Inc. His interests include speech and natural language
processing, machine learning, and information retrieval. He is a principal author of
the OpenFst library and the AT&T FSM Library (TM). He manages
a group with expertise that includes speech recognition, speech synthesis,
computational linguistics, NLP, automata algorithms and machine learning. He is an
IEEE and ISCA Fellow.

Proceedings of the 12th biennial European Conference on Artificial Intelligence
(ECAI-96), Workshop on Extended finite state models of language, John Wiley and
Sons, Chichester, Budapest, Hungary (1996)